Growth

Preamble

Growth is the post-launch learning branch. It turns revenue, retention, support pain, objections, experiments, and channel mechanics into reusable lessons without letting dashboards become a substitute for product truth.

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The Product Has To Push Back

Growth begins after the product exists and the market has more ways to complain. A launched product produces signals that Demand Seeding cannot: activation, retention, conversion, support load, churn, objections, feature use, pricing friction, and expansion. Those signals should update the wedge, product, distribution, and future Factory runs. The false positive is a dashboard that looks alive while the product fails to teach the system anything useful.

Growth Objects Need Names

Growth has to separate the things it measures. Keep the objects separate: audience, hook, offer, CTA, channel, experiment, result, and reusable heuristic.

The Growth Object Model matters because post-launch learning becomes vague when everything is called content, marketing, or traction. The Factory needs typed objects with hypotheses, source links, outcomes, and mutation rules.

Reuse Comes After Contact

Growth should promote lessons only after the market has touched them. A hook that worked in one category can seed another test. It cannot become proof in the new category. A playbook can guide a run. It cannot erase the need for outcome writeback. A creative style can travel. It still has to answer to conversion, retention, revenue, or useful objection. Growth compounds when a live product makes the next venture smarter.

The First Real Proof

Growth lands when post-launch signals change a product, channel, offer, or Factory heuristic. The branch succeeds when one result becomes a reusable pattern with limits attached. It fails when metrics rise and no future decision gets sharper.